-----IE 48 49 mu-nunnu 11, a. Find the correlation coefficient: r = C] Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: H0: '20 0 H1: '20 790 The p-value is: [: (Round to four decimal places) c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. 0 There is statistically significant evidence to conclude that a game with higher attendance will have fewer runs scored than a game with lower attendance. 0 There is statistically significant evidence to conclude that there is a correlation between the _.I..I.........J_.......... A: L_.....L._II -............... _.....J LL... ............ Q There is a 45% chance that the regression line will be a good predictor for the runs scored based on the attendance of the game. 0 45% of all games will have the average number of runs scored. 0 There is a large variation in the runs scored in baseball games, but if you only look at games with a fixed attendance, this variation on average is reduced by 45%. 0 Given any fixed attendance, 45% of all of those games will have the predicted number of runs scored. f. The equation of the linear regression line is: h. answers to two decimal places) . Use the model to predict the runs scored at a game that has an attendance of 23,000 people. Runs scored = C] (Please round your answer to the nearest whole number.) Interpret the slope of the regression line in the context c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. 0 There is statistically significant evidence to conclude that a game with higher attendance will have fewer runs scored than a game with lower attendance. 0 There is statistically significant evidence to conclude that there is a correlation between the attendance of baseball games and the runs scored. Thus, the regression line is useful. 0 There is statistically insignificant evidence to conclude that there is a correlation between the attendance of baseball games and the runs scored. Thus, the use of the regression line is not appropriate. 0 There is statistically significant evidence to conclude that a game with a higher attendance will have more runs scored than a game with